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|
licenses(["restricted"]) # MPL2, portions GPL v3, LGPL v3, BSD-like
load("//tensorflow:tensorflow.bzl", "if_cuda")
load("//tensorflow/core:platform/default/build_config.bzl",
"tf_get_cuda_version",
"tf_get_cudnn_version",
)
package(default_visibility = ["//visibility:public"])
config_setting(
name = "cuda_crosstool_condition",
values = {"define": "using_cuda=true"},
visibility = ["//visibility:public"],
)
config_setting(
name = "using_gcudacc",
values = {
"define": "using_cuda=true",
"copt": "--use_gcudacc",
},
visibility = ["//visibility:public"],
)
config_setting(
name = "using_nvcc",
values = {
"define": "using_cuda=true",
"copt": "--use_nvcc",
},
)
cc_library(
name = "cuda_headers",
hdrs = glob([
"**/*.h",
]),
includes = [".", "include"],
visibility = ["//visibility:public"],
)
cc_library(
name = "cudart_static",
srcs = [
"lib64/libcudart_static.a",
],
includes = ["include/"],
linkopts = [
"-ldl",
"-lrt",
"-lpthread",
],
visibility = ["//visibility:public"],
)
cc_library(
name = "cudart",
srcs = [
"lib64/libcudart.so" + tf_get_cuda_version(),
],
data = [
"lib64/libcudart.so" + tf_get_cuda_version(),
],
includes = ["include/"],
visibility = ["//visibility:public"],
linkstatic = 1,
)
cc_library(
name = "cublas",
srcs = [
"lib64/libcublas.so" + tf_get_cuda_version(),
],
data = [
"lib64/libcublas.so" + tf_get_cuda_version(),
],
includes = ["include/"],
visibility = ["//visibility:public"],
linkstatic = 1,
)
cc_library(
name = "cudnn",
srcs = [
"lib64/libcudnn.so" + tf_get_cudnn_version(),
],
data = [
"lib64/libcudnn.so" + tf_get_cudnn_version(),
],
includes = ["include/"],
visibility = ["//visibility:public"],
linkstatic = 1,
)
cc_library(
name = "cufft",
srcs = [
"lib64/libcufft.so" + tf_get_cuda_version(),
],
data = [
"lib64/libcufft.so" + tf_get_cuda_version(),
],
includes = ["include/"],
visibility = ["//visibility:public"],
linkstatic = 1,
)
cc_library(
name = "cuda",
deps = [
":cuda_headers",
":cudart",
":cublas",
":cudnn",
":cufft",
],
visibility = ["//visibility:public"],
)
# TODO(opensource): for now, we have to invoke the cuda_config.sh manually in the source tree.
# This rule checks if Cuda libraries in the source tree has been properly configured.
# The output list makes bazel runs this rule first if the Cuda files are missing.
# This gives us an opportunity to check and print a meaningful error message.
# But we will need to create the output file list to make bazel happy in a successfull run.
genrule(
name = "cuda_check",
srcs = [
"cuda.config",
"cuda_config.sh",
],
outs = [
"include/cuda.h",
"include/cublas.h",
"include/cudnn.h",
"lib64/libcudart_static.a",
"lib64/libcublas.so" + tf_get_cuda_version(),
"lib64/libcudnn.so" + tf_get_cudnn_version(),
"lib64/libcudart.so" + tf_get_cuda_version(),
"lib64/libcufft.so" + tf_get_cuda_version(),
],
cmd = if_cuda(
# Under cuda config, create all the symbolic links to the actual cuda files
"OUTPUTDIR=`readlink -f $(@D)/../../..`; cd `dirname $(location :cuda_config.sh)`; OUTPUTDIR=$$OUTPUTDIR ./cuda_config.sh --check;",
# Under non-cuda config, create all dummy files to make the build go through
";".join([
"mkdir -p $(@D)/include",
"mkdir -p $(@D)/lib64",
"touch $(@D)/include/cuda.h",
"touch $(@D)/include/cublas.h",
"touch $(@D)/include/cudnn.h",
"touch $(@D)/lib64/libcudart_static.a",
"touch $(@D)/lib64/libcublas.so" + tf_get_cuda_version(),
"touch $(@D)/lib64/libcudnn.so" + tf_get_cudnn_version(),
"touch $(@D)/lib64/libcudart.so" + tf_get_cuda_version(),
"touch $(@D)/lib64/libcufft.so" + tf_get_cuda_version(),
]),
),
local = 1,
)
genrule(
name = "cuda_config_check",
outs = [
"cuda.config",
],
cmd = if_cuda(
# Under cuda config, create the symbolic link to the actual cuda.config
"configfile=$(location :cuda.config); ln -sf `readlink -f $${configfile#*/*/*/}` $(@D)/;",
# Under non-cuda config, create the dummy file
";".join([
"touch $(@D)/cuda.config",
]),
),
local = 1,
)
|
